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DOI10.1016/j.atmosres.2020.105398
Review of dust storm detection algorithms for multispectral satellite sensors
Li J.; Wong M.S.; Lee K.H.; Nichol J.; Chan P.W.
Date Issued2021
ISSN0169-8095
Volume250
Other AbstractSatellite remote sensing has been extensively utilized for monitoring dust storms in space and time. Dust storm detection using satellite observations is important to analyze the dust storm trajectories and sources. This paper reviews the algorithms for dust storm detection used in multispectral satellite sensors, spanning visible to thermal wavelengths. Four categories of dust detection algorithms are summarized, namely, dust spectral index algorithms, temporal anomalous detection algorithms, spatial coherence tested algorithms (physical-based algorithms) and machine learning-based algorithms. Following discussions of dust storm detection algorithms, the dust presence validation methods are also reviewed. Future developments for dust storm detection are focused upon three aspects: detection of dust storms at nighttime; development of more efficient machine learning methods for retrieval; and integrating physical and machine learning methods for satellite images. © 2020 Elsevier B.V.
enkeywordsDust storm detection; Machine learning; Satellite remote sensing
Language英语
scopus keywordsDust; Machine learning; Remote sensing; Satellites; Signal detection; Storms; Anomalous detections; Detection algorithm; Machine learning methods; Satellite observations; Satellite remote sensing; Satellite sensors; Spatial coherence; Thermal wave length; Learning algorithms; algorithm; detection method; dust storm; machine learning; multispectral image; remote sensing; satellite imagery
journalAtmospheric Research
Document Type期刊论文
Identifierhttp://gcip.llas.ac.cn/handle/2XKMVOVA/162134
AffiliationDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong; Department of Atmospheric & Environmental Sciences, Gangneung-Wonju National University, South Korea; School of Global Studies, University of Sussex, United Kingdom; The Hong Kong Observatory, Hong Kong
Recommended Citation
GB/T 7714
Li J.,Wong M.S.,Lee K.H.,et al. Review of dust storm detection algorithms for multispectral satellite sensors[J],2021,250.
APA Li J.,Wong M.S.,Lee K.H.,Nichol J.,&Chan P.W..(2021).Review of dust storm detection algorithms for multispectral satellite sensors.Atmospheric Research,250.
MLA Li J.,et al."Review of dust storm detection algorithms for multispectral satellite sensors".Atmospheric Research 250(2021).
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